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Skeleton-Based Onli...
Skeleton-Based Online Action Prediction Using Scale Selection Network
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- Liu, Jun (author)
- Nanyang Technological University
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- Shahroudy, Amir, 1981 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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Wang, Gang (author)
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- Duan, Ling Yu (author)
- Beijing University of Technology,Peng Cheng Laboratory
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- Kot, Alex C. (author)
- Nanyang Technological University
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(creator_code:org_t)
- 2020
- 2020
- English.
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In: IEEE Transactions on Pattern Analysis and Machine Intelligence. - 1939-3539 .- 0162-8828. ; 42:6, s. 1453-1467
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Abstract
Subject headings
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- Action prediction is to recognize the class label of an ongoing activity when only a part of it is observed. In this paper, we focus on online action prediction in streaming 3D skeleton sequences. A dilated convolutional network is introduced to model the motion dynamics in temporal dimension via a sliding window over the temporal axis. Since there are significant temporal scale variations in the observed part of the ongoing action at different time steps, a novel window scale selection method is proposed to make our network focus on the performed part of the ongoing action and try to suppress the possible incoming interference from the previous actions at each step. An activation sharing scheme is also proposed to handle the overlapping computations among the adjacent time steps, which enables our framework to run more efficiently. Moreover, to enhance the performance of our framework for action prediction with the skeletal input data, a hierarchy of dilated tree convolutions are also designed to learn the multi-level structured semantic representations over the skeleton joints at each frame. Our proposed approach is evaluated on four challenging datasets. The extensive experiments demonstrate the effectiveness of our method for skeleton-based online action prediction.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Bioinformatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Bioinformatics (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)
Keyword
- Action prediction
- dilated convolution
- scale selection
- sliding window
- skeleton data
Publication and Content Type
- art (subject category)
- ref (subject category)
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